Author

Nicholas R. Rose

University of California, Santa CruzORCID 0000-0002-8285-4215Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Immunology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:proteomics· 2 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Lydia MokiD· 2 shared Vanessa D. JönssoniD· 2 shared Andrew RobinsoniD· 1 shared Christopher K. WongiD· 1 shared Cynthia M Ramirez· 1 shared Divya Lakshmi VenkatramaniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 11 mutual co-author links

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2 shared papersImmunology

Lydia MokORCID

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2 papers

Recent·Most cited

ImmunologybioRxivPreprintJul 4, 2026

PRISM : Peptide-specificity annotation of T-cell receptors with uncertainty quantification

Divya Lakshmi Venkatraman, Lydia Mok, Nicholas R. Rose…·Vanessa D. Jönsson

PRISM improves TCR specificity prediction by addressing label scarcity and viral bias through synthetic data and uncertainty quantification, outperforming existing models on rare epitopes.

DOI 10.64898/2026.06.30.735715

humanproteomics

𝕏 PostBluesky

ImmunologybioRxivPreprintJul 4, 2026

TRIOPS: A deep learning framework for prediction of T cell receptor-MHC binding specificity

Nicholas R. Rose, Cynthia M Ramirez, Lydia Mok…·Vanessa D. Jönsson

TRIOPS predicts TCR-MHC restriction from amino acid sequences, achieving high AUC scores and generalizing to unseen alleles and HLA genotypes.

DOI 10.64898/2026.06.30.735718

humanproteomics

𝕏 PostBluesky